{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Lester BM"],"funding":["Eunice Kennedy Shriver National Institute of Child Health and Human Development","NICHD NIH HHS","NIEHS NIH HHS","NIMH NIH HHS","National Institute of Mental Health","NIH HHS"],"pubmed_abstract":["<b>Aim:</b> The current work was designed to demonstrate the application of the exposome framework in examining associations between exposures and children's long-term neurodevelopmental and behavioral outcomes. <b>Methods:</b> Longitudinal data were collected from birth through age 6 from 402 preterm infants. Three statistical methods were utilized to demonstrate the exposome framework: exposome-wide association study, cumulative exposure and machine learning models, with and without epigenetic data. <b>Results:</b> Each statistical approach answered a distinct research question regarding the impact of exposures on longitudinal child outcomes. Findings highlight associations between exposures, epigenetics and executive function. <b>Conclusion:</b> Findings demonstrate how an exposome-base"],"journal":["Epigenomics"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11157992"],"repository":["biostudies-literature"],"pubmed_title":["Toward a more holistic approach to the study of exposures and child outcomes."],"pmcid":["PMC11157992"],"funding_grant_id":["K01MH129510","R01 HD084515","K01 MH129510","R01 HD072267","UH3 OD023347","R01HD072267, R01HD084515, UH3OD023347","U2C ES026555"],"pubmed_authors":["Marsit CJ","Shuster CL","Everson TM","Camerota M","Lester BM"],"additional_accession":[]},"is_claimable":false,"name":"Toward a more holistic approach to the study of exposures and child outcomes.","description":"<b>Aim:</b> The current work was designed to demonstrate the application of the exposome framework in examining associations between exposures and children's long-term neurodevelopmental and behavioral outcomes. <b>Methods:</b> Longitudinal data were collected from birth through age 6 from 402 preterm infants. Three statistical methods were utilized to demonstrate the exposome framework: exposome-wide association study, cumulative exposure and machine learning models, with and without epigenetic data. <b>Results:</b> Each statistical approach answered a distinct research question regarding the impact of exposures on longitudinal child outcomes. Findings highlight associations between exposures, epigenetics and executive function. <b>Conclusion:</b> Findings demonstrate how an exposome-base","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2026-07-15T07:38:10.013Z","creation":"2026-07-01T03:07:38.212Z"},"accession":"S-EPMC11157992","cross_references":{"pubmed":["38482639"],"doi":["10.2217/epi-2023-0424"]}}